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The Change Of Paradigm In Nuclear Fuel Optimization
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Book Synopsis The Change of Paradigm in Nuclear Fuel Optimization by : Sergey Pelykh
Download or read book The Change of Paradigm in Nuclear Fuel Optimization written by Sergey Pelykh and published by Cambridge Scholars Publishing. This book was released on 2019-03-21 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph highlights pertinent problems in nuclear fuel optimization. It shows that the current approach does not allow us to predict the synergic effects leading to fuel-related accidents, and is characterized by great uncertainty with regards to estimating fuel cladding failure conditions and the reduced efficiency of fuel operation. The book describes in detail a new philosophy of nuclear fuel optimization based on the synergic paradigm, applicable to both operating and prospective reactors, in order to minimize radioactive leakage under normal and emergency fuel operating conditions, to resolve the safety-efficiency contradiction for nuclear fuel operation, and to predict new synergic effects due to processes of self-organization in the reactor core. It will appeal to researchers, academics, PhD students and engineers engaged in developing prospective nuclear reactor designs, as well as those who verify the safety and efficiency of nuclear fuel operation under increasingly challenging core conditions.
Book Synopsis Nuclear Fuel Cycle Optimization by : P. Silvennoinen
Download or read book Nuclear Fuel Cycle Optimization written by P. Silvennoinen and published by Elsevier. This book was released on 2013-10-22 with total page 139 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nuclear Fuel Cycle Optimization: Methods and Modelling Techniques discusses applicable methods for analysis of fuel cycle logistics and optimization and evaluation of the economics of various reactor strategies. The opening chapter covers the nuclear fuel cycle, while the next chapter tackles uranium supply and demand. Chapter 3 discusses basic model of the light water reactor (LWR). The fourth chapter talks about the resolution of uncertainties, and the fifth chapter discusses the assessment of proliferation risks. Chapter 6 covers multigoal optimization, while Chapter 7 deals with the generalized fuel cycle models. The eighth chapter covers reactor strategy calculations, whereas the last chapter discusses interface with energy strategy. The book will appeal to students of energy economics or of nuclear engineering.
Book Synopsis Exergy, Energy System Analysis and Optimization - Volume III by : Christos A. Frangopoulos
Download or read book Exergy, Energy System Analysis and Optimization - Volume III written by Christos A. Frangopoulos and published by EOLSS Publications. This book was released on 2009-05-13 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: Exergy, Energy System Analysis, and Optimization theme is a component of the Encyclopedia of Energy Sciences, Engineering and Technology Resources which is part of the global Encyclopedia of Life Support Systems (EOLSS), an integrated compendium of twenty one Encyclopedias. These three volumes are organized into five different topics which represent the main scientific areas of the theme: 1. Exergy and Thermodynamic Analysis; 2. Thermoeconomic Analysis; 3. Modeling, Simulation and Optimization in Energy Systems; 4. Artificial Intelligence and Expert Systems in Energy Systems Analysis; 5. Sustainability Considerations in the Modeling of Energy Systems. Fundamentals and applications of characteristic methods are presented in these volumes. These three volumes are aimed at the following five major target audiences: University and College Students, Educators, Professional Practitioners, Research Personnel and Policy Analysts, Managers, and Decision Makers and NGOs.
Book Synopsis A New Energy Paradigm by : Debra K. Decker
Download or read book A New Energy Paradigm written by Debra K. Decker and published by . This book was released on 2007 with total page 31 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Knowledge is Power in Four Dimensions: Models to Forecast Future Paradigm by : Bahman Zohuri
Download or read book Knowledge is Power in Four Dimensions: Models to Forecast Future Paradigm written by Bahman Zohuri and published by Academic Press. This book was released on 2022-07-14 with total page 1000 pages. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge is Power in Four Dimensions: Models to Forecast Future Paradigms, Forecasting Energy for Tomorrow’s World with Mathematical Modeling and Python Programming Driven Artificial Intelligence delivers knowledge on key infrastructure topics in both AI technology and energy. Sections lay the groundwork for tomorrow’s computing functionality, starting with how to build a Business Resilience System (BRS), data warehousing, data management, and fuzzy logic. Subsequent chapters dive into the impact of energy on economic development and the environment and mathematical modeling, including energy forecasting and engineering statistics. Energy examples are included for application and learning opportunities. A final section deliver the most advanced content on artificial intelligence with the integration of machine learning and deep learning as a tool to forecast and make energy predictions. The reference covers many introductory programming tools, such as Python, Scikit, TensorFlow and Kera. Helps users gain fundamental knowledge in technology infrastructure, including AI, machine learning and fuzzy logic Compartmentalizes data knowledge into near-term and long-term forecasting models, with examples involving both renewable and non-renewable energy outcomes Advances climate resiliency and helps readers build a business resiliency system for assets
Book Synopsis Optimization of Nuclear Fuel Cycle Strategies Under Uncertainty by : Juhani Vira
Download or read book Optimization of Nuclear Fuel Cycle Strategies Under Uncertainty written by Juhani Vira and published by . This book was released on 1981 with total page 42 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Optimization of Material Flow in the Nuclear Fuel Cycle Using a Cyclic Multi-stage Production-to-inventory Model by : Elden Leo DePorter
Download or read book Optimization of Material Flow in the Nuclear Fuel Cycle Using a Cyclic Multi-stage Production-to-inventory Model written by Elden Leo DePorter and published by . This book was released on 1977 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Application of Differential Dynamic Programming to Nuclear Fuel Management Optimization by : Larry Edgar Fennern
Download or read book Application of Differential Dynamic Programming to Nuclear Fuel Management Optimization written by Larry Edgar Fennern and published by . This book was released on 1974 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Sensitivity Analysis and Optimization of the Nuclear Fuel Cycle by : Stefano Passerini
Download or read book Sensitivity Analysis and Optimization of the Nuclear Fuel Cycle written by Stefano Passerini and published by . This book was released on 2012 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: For decades, nuclear energy development was based on the expectation that recycling of the fissionable materials in the used fuel from today's light water reactors into advanced (fast) reactors would be implemented as soon as technically feasible in order to extend the nuclear fuel resources. More recently, arguments have been made for deployment of fast reactors in order to reduce the amount of higher actinides, hence the longevity of radioactivity, in the materials destined to a geologic repository. The cost of the fast reactors, together with concerns about the proliferation of the technology of extraction of plutonium from used LWR fuel as well as the large investments in construction of reprocessing facilities have been the basis for arguments to defer the introduction of recycling technologies in many countries including the US. In this thesis, the impacts of alternative reactor technologies on the fuel cycle are assessed. Additionally, metrics to characterize the fuel cycles and systematic approaches to using them to optimize the fuel cycle are presented. The fuel cycle options of the 2010 MIT fuel cycle study are re-examined in light of the expected slower rate of growth in nuclear energy today, using the CAFCA (Code for Advanced Fuel Cycle Analysis). The Once Through Cycle (OTC) is considered as the base-line case, while advanced technologies with fuel recycling characterize the alternative fuel cycle options available in the future. The options include limited recycling in LWRs and full recycling in fast reactors and in high conversion LWRs. Fast reactor technologies studied include both oxide and metal fueled reactors. Additional fuel cycle scenarios presented for the first time in this work assume the deployment of innovative recycling reactor technologies such as the Reduced Moderation Boiling Water Reactors and Uranium-235 initiated Fast Reactors. A sensitivity study focused on system and technology parameters of interest has been conducted to test the robustness of the conclusions presented in the MIT Fuel Cycle Study. These conclusions are found to still hold, even when considering alternative technologies and different sets of simulation assumptions. Additionally, a first of a kind optimization scheme for the nuclear fuel cycle analysis is proposed and the applications of such an optimization are discussed. Optimization metrics of interest for different stakeholders in the fuel cycle (economics, fuel resource utilization, high level waste, transuranics/proliferation management, and environmental impact) are utilized for two different optimization techniques: a linear one and a stochastic one. Stakeholder elicitation provided sets of relative weights for the identified metrics appropriate to each stakeholder group, which were then successfully used to arrive at optimum fuel cycle configurations for recycling technologies. The stochastic optimization tool, based on a genetic algorithm, was used to identify non-inferior solutions according to Pareto's dominance approach to optimization. The main tradeoff for fuel cycle optimization was found to be between economics and most of the other identified metrics.
Book Synopsis Nuclear Fuel Management by : Harvey W. Graves
Download or read book Nuclear Fuel Management written by Harvey W. Graves and published by John Wiley & Sons. This book was released on 1979 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis In-core Nuclear Fuel Management Optimization Utilizing Simulated Annealing by : David Joseph Kropaczek
Download or read book In-core Nuclear Fuel Management Optimization Utilizing Simulated Annealing written by David Joseph Kropaczek and published by . This book was released on 1990 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Out-of-core Nuclear Fuel Cycle Economic Optimization for Nonedquilibrium Cycles by : Scott A. Comes
Download or read book Out-of-core Nuclear Fuel Cycle Economic Optimization for Nonedquilibrium Cycles written by Scott A. Comes and published by . This book was released on 1987 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Loading Pattern Optimization Method for Nuclear Fuel Management by : J. P. Argaud
Download or read book Loading Pattern Optimization Method for Nuclear Fuel Management written by J. P. Argaud and published by . This book was released on 1997 with total page 8 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis The Linear Reactivity Model for Nuclear Fuel Management by : M. J. Driscoll
Download or read book The Linear Reactivity Model for Nuclear Fuel Management written by M. J. Driscoll and published by . This book was released on 1990 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Linear Reactivity Model (LRM) is a simple nuclear fuel management model that comes with a diskette containing three programs. Consisting of a collection of algorithms and methods, the LRM describes complex core behavior, but it is simpler than the complex programs developed for design calculations. This makes the LRM particularly useful as a teaching tool to explain the basic principles of nuclear fuel management. The LRM mainly focuses on the pressurized water reactor, but it is also directly applicable to the boiling water reactor. Application of the LRM to the CANDU reactor is also covered.
Book Synopsis Discrete Optimization Method for Nuclear Fuel Management by : Jean-Philippe Argaud
Download or read book Discrete Optimization Method for Nuclear Fuel Management written by Jean-Philippe Argaud and published by . This book was released on 1993 with total page 18 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Evaluation of the Need for Stochastic Optimization of Out-of-core Nuclear Fuel Management Decisions by : Roger L. Thomas
Download or read book Evaluation of the Need for Stochastic Optimization of Out-of-core Nuclear Fuel Management Decisions written by Roger L. Thomas and published by . This book was released on 1989 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Advanced Nuclear Fuel Cycle Transitions by :
Download or read book Advanced Nuclear Fuel Cycle Transitions written by and published by . This book was released on 2016 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many nuclear fuel cycle simulators have evolved over time to help understan the nuclear industry/ecosystem at a macroscopic level. Cyclus is one of th first fuel cycle simulators to accommodate larger-scale analysis with it liberal open-source licensing and first-class Linux support. Cyclus also ha features that uniquely enable investigating the effects of modeling choices o fuel cycle simulators and scenarios. This work is divided into thre experiments focusing on optimization, effects of modeling choices, and fue cycle uncertainty Effective optimization techniques are developed for automatically determinin desirable facility deployment schedules with Cyclus. A novel method fo mapping optimization variables to deployment schedules is developed. Thi allows relationships between reactor types and scenario constraints to b represented implicitly in the variable definitions enabling the usage o optimizers lacking constraint support. It also prevents wasting computationa resources evaluating infeasible deployment schedules. Deployed power capacit over time and deployment of non-reactor facilities are also included a optimization variables There are many fuel cycle simulators built with different combinations o modeling choices. Comparing results between them is often difficult. Cyclus flexibility allows comparing effects of many such modeling choices. Reacto refueling cycle synchronization and inter-facility competition among othe effects are compared in four cases each using combinations of fleet o individually modeled reactors with 1-month or 3-month time steps. There ar noticeable differences in results for the different cases. The larges differences occur during periods of constrained reactor fuel availability This and similar work can help improve the quality of fuel cycle analysi generally There is significant uncertainty associated deploying new nuclear technologie such as time-frames for technology availability and the cost of buildin advanced reactors. Historically, fuel cycle analysis has focused on answerin questions of fuel cycle feasibility and optimality. However, there has no been much work done to address uncertainty in fuel cycle analysis helpin answer questions of fuel cycle robustness. This work develops an demonstrates a methodology for evaluating deployment strategies whil accounting for uncertainty. Techniques are developed for measuring th hedging properties of deployment strategies under uncertainty. Additionally methods for using optimization to automatically find good hedging strategie are demonstrated
